解释了近红外光谱的有效性不合理。引入近红外光谱集成功能指纹识别时代

L. Munck
{"title":"解释了近红外光谱的有效性不合理。引入近红外光谱集成功能指纹识别时代","authors":"L. Munck","doi":"10.1255/NIR2017.105","DOIUrl":null,"url":null,"abstract":"Author Summary: Near infrared (NIR) spectral patterns from seeds carry surprisingly consistent information on functional food quality that seems almost unreasonable. In the developing cereal seed, all genes interact with all other active genes. This is proven by manipulating the immense complexity of physiological expression by single seed mutants in a barley seed model at a constant gene background/environment. Miraculously, it is possible to get a causal relation between the mutated gene and its NIR spectral pattern. When combining under controlled conditions, Nature’s and the near infrared spectroscopy (NIRS) instrument’s combined ability to reproduce the physiochemical composition of a seed population of a DNA-specific genotype, we obtain at stunning absorption log 1/R 10–4–10–5 mean distance between two similar single seed spectra. The deterministic gene/genotype-specific NIRS patterns from single seeds/populations and the corresponding deterministic metabolite patterns are interpreted, in the light of the present achievements in molecular and quantum biology, as a discovery of a global decision mechanism by “set probability”. It involves a global cell/seed/plant communication resulting in individual specific NIRS and chemical metabolic patterns that prevail on all levels of the phenotype. This ensnaring phenomenon is here labelled as “biological entanglement” with a possible explanation in the quantum world of physics. The observed gene interaction leading to conserved physiochemical fingerprints has consequences with regard to the assessment and breeding for cereal food quality. Only by targeting the food functional complex by a spectral pattern from a certified quality cereal line, that includes an overview of gene interaction, is it possible to get the selection target right from the beginning. Selection by functional NIR spectral fingerprinting first is more effective than by quantitative trait locus (QTL) markers for single quantitative traits, because these DNA markers do not include information on the global gene interaction. The cost of using integrated NIRS breeding is less than one per cent of the costs for molecular QTL breeding. For a new NIRS fingerprinting culture to take on in industry, plant breeding and basic science—an inverse engineering strategy is needed with a library for functional fingerprint evaluation that builds a confidence into each user based on own experience, on how to read the meaning out of every single NIR spectrum.","PeriodicalId":20429,"journal":{"name":"Proceedings of the 18th International Conference on Near Infrared Spectroscopy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The unreasonable effectiveness of near infrared spectroscopy explained. Introducing the era of NIRS integrated\\nfunctional fingerprinting\",\"authors\":\"L. Munck\",\"doi\":\"10.1255/NIR2017.105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Author Summary: Near infrared (NIR) spectral patterns from seeds carry surprisingly consistent information on functional food quality that seems almost unreasonable. In the developing cereal seed, all genes interact with all other active genes. This is proven by manipulating the immense complexity of physiological expression by single seed mutants in a barley seed model at a constant gene background/environment. Miraculously, it is possible to get a causal relation between the mutated gene and its NIR spectral pattern. When combining under controlled conditions, Nature’s and the near infrared spectroscopy (NIRS) instrument’s combined ability to reproduce the physiochemical composition of a seed population of a DNA-specific genotype, we obtain at stunning absorption log 1/R 10–4–10–5 mean distance between two similar single seed spectra. The deterministic gene/genotype-specific NIRS patterns from single seeds/populations and the corresponding deterministic metabolite patterns are interpreted, in the light of the present achievements in molecular and quantum biology, as a discovery of a global decision mechanism by “set probability”. It involves a global cell/seed/plant communication resulting in individual specific NIRS and chemical metabolic patterns that prevail on all levels of the phenotype. This ensnaring phenomenon is here labelled as “biological entanglement” with a possible explanation in the quantum world of physics. The observed gene interaction leading to conserved physiochemical fingerprints has consequences with regard to the assessment and breeding for cereal food quality. Only by targeting the food functional complex by a spectral pattern from a certified quality cereal line, that includes an overview of gene interaction, is it possible to get the selection target right from the beginning. Selection by functional NIR spectral fingerprinting first is more effective than by quantitative trait locus (QTL) markers for single quantitative traits, because these DNA markers do not include information on the global gene interaction. The cost of using integrated NIRS breeding is less than one per cent of the costs for molecular QTL breeding. For a new NIRS fingerprinting culture to take on in industry, plant breeding and basic science—an inverse engineering strategy is needed with a library for functional fingerprint evaluation that builds a confidence into each user based on own experience, on how to read the meaning out of every single NIR spectrum.\",\"PeriodicalId\":20429,\"journal\":{\"name\":\"Proceedings of the 18th International Conference on Near Infrared Spectroscopy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 18th International Conference on Near Infrared Spectroscopy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1255/NIR2017.105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 18th International Conference on Near Infrared Spectroscopy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1255/NIR2017.105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

作者简介:种子的近红外(NIR)光谱模式携带了令人惊讶的一致的功能食品质量信息,这似乎几乎是不合理的。在发育中的谷类种子中,所有的基因都与其他所有的活性基因相互作用。这是通过在恒定的基因背景/环境下操纵大麦种子模型中单个种子突变体生理表达的巨大复杂性来证明的。神奇的是,有可能得到突变基因与其近红外光谱模式之间的因果关系。当在受控条件下,结合自然和近红外光谱(NIRS)仪器的综合能力,重现一个dna特异性基因型的种子群体的物理化学组成,我们获得惊人的吸收对数1/R - 10-4-10-5两个相似的单一种子光谱之间的平均距离。根据目前分子和量子生物学的成就,单个种子/群体的确定性基因/基因型特异性近红外光谱模式及其相应的确定性代谢物模式被解释为通过“集合概率”发现了全局决策机制。它涉及一个全球性的细胞/种子/植物通讯,导致个体特定的近红外光谱和化学代谢模式,在表型的所有水平上普遍存在。这种诱捕现象在这里被称为“生物纠缠”,在物理学的量子世界中有一个可能的解释。所观察到的基因相互作用导致了保守的理化指纹图谱,这对谷物食品品质的评价和育种具有重要意义。只有通过经过认证的优质谷物系列的光谱模式来定位食品功能复合物,其中包括基因相互作用的概述,才有可能从一开始就找到正确的选择目标。对于单个数量性状,首先使用功能性近红外光谱指纹图谱进行选择比使用数量性状位点(QTL)标记更有效,因为这些DNA标记不包含全局基因相互作用的信息。使用综合近红外光谱育种的成本不到分子QTL育种成本的1%。为了在工业、植物育种和基础科学中应用新的近红外指纹识别文化,需要一种逆向工程策略,通过一个功能指纹评估库,根据自己的经验建立每个用户的信心,了解如何从每个近红外光谱中读取含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The unreasonable effectiveness of near infrared spectroscopy explained. Introducing the era of NIRS integrated functional fingerprinting
Author Summary: Near infrared (NIR) spectral patterns from seeds carry surprisingly consistent information on functional food quality that seems almost unreasonable. In the developing cereal seed, all genes interact with all other active genes. This is proven by manipulating the immense complexity of physiological expression by single seed mutants in a barley seed model at a constant gene background/environment. Miraculously, it is possible to get a causal relation between the mutated gene and its NIR spectral pattern. When combining under controlled conditions, Nature’s and the near infrared spectroscopy (NIRS) instrument’s combined ability to reproduce the physiochemical composition of a seed population of a DNA-specific genotype, we obtain at stunning absorption log 1/R 10–4–10–5 mean distance between two similar single seed spectra. The deterministic gene/genotype-specific NIRS patterns from single seeds/populations and the corresponding deterministic metabolite patterns are interpreted, in the light of the present achievements in molecular and quantum biology, as a discovery of a global decision mechanism by “set probability”. It involves a global cell/seed/plant communication resulting in individual specific NIRS and chemical metabolic patterns that prevail on all levels of the phenotype. This ensnaring phenomenon is here labelled as “biological entanglement” with a possible explanation in the quantum world of physics. The observed gene interaction leading to conserved physiochemical fingerprints has consequences with regard to the assessment and breeding for cereal food quality. Only by targeting the food functional complex by a spectral pattern from a certified quality cereal line, that includes an overview of gene interaction, is it possible to get the selection target right from the beginning. Selection by functional NIR spectral fingerprinting first is more effective than by quantitative trait locus (QTL) markers for single quantitative traits, because these DNA markers do not include information on the global gene interaction. The cost of using integrated NIRS breeding is less than one per cent of the costs for molecular QTL breeding. For a new NIRS fingerprinting culture to take on in industry, plant breeding and basic science—an inverse engineering strategy is needed with a library for functional fingerprint evaluation that builds a confidence into each user based on own experience, on how to read the meaning out of every single NIR spectrum.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信